NDLI: Intelligent Computer Evaluation of Offender’s Previous Record

Content Provider	Springer Nature Link
Author	Schild, Uri J. Kannai, Ruth
Copyright Year	2006
Abstract	This paper considers the problem of how to evaluate an offender’s criminal record. This evaluation is part of the sentencing process carried out by a judge, and may be complicated in the case of offenders with a heavy record. We give a comprehensive overview of the approach to an offender’s past record in various (Western) countries, considering the two major approaches: desert-based and utilitarian. The paper describes the determination of the parameters involved in the evaluation, and the construction of a decision support system to be used by a judge about to pass sentence in a criminal case. The system may be used as a stand-alone system, but can also be integrated as a component of a general sentencing support system, e.g. a statistical sentencing information system. The system is a knowledge-based system. The knowledge base (in rule-form) was created primarily by eliciting knowledge from experts (judges, lawyers, academics and probation officers), but also by applying statutory law, case law and legal authoritative texts. It is flexible in the sense, that a user can introduce his1 own preferences (expressed as numerical coefficients) and thereby apply different sentencing principles. The prototype is at present undergoing testing by some of the participating judges.
Starting Page	373
Ending Page	405
Page Count	33
File Format	PDF
ISSN	09248463
Journal	Artificial Intelligence and Law
Volume Number	13
Issue Number	3-4
e-ISSN	15728382
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2006-06-12
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	criminal sentencing decision support systems previous criminal record Air and Space Law Computational Linguistics Philosophy of Law Legal Aspects of Computing Artificial Intelligence (incl. Robotics)
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Law

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